KR20220028499A - Personalized advertisement exposure system of sports channel and personalized advertisement exposure method of sports channel using the same - Google Patents

Abstract

The present invention provides a personalized advertisement exposure system of a sports channel which comprises: a personal terminal on which a sports channel application is installed; and a sports channel server that learns viewer data collected through the personal terminal to classify and select personalized advertisement content corresponding to individual interest fields of the viewer and transmits the selected personalized advertisement content to a sports channel application server. According to the above description, it is possible to reduce advertisement dissatisfaction to a viewer and to provide an effect of increasing advertisement effectiveness.

Description

{PERSONALIZED ADVERTISEMENT EXPOSURE SYSTEM OF SPORTS CHANNEL AND PERSONALIZED ADVERTISEMENT EXPOSURE METHOD OF SPORTS CHANNEL USING THE SAME}

The present invention relates to a personalized advertisement exposure system for a sports channel and a method for exposing personalized advertisements for a sports channel using the same. To a personalized advertisement exposure system for a sports channel that can minimize dissatisfaction with advertisements and improve advertisement effectiveness at the same time, and to a method for individually customized advertisement exposure for sports channels using the same.

In general, a sports relay broadcasting system provides viewers with a video including relay and commentary of a sports game while shooting a video of a sports game taking place in the field (stadium) so that viewers can watch the sports game. Recently, these sports relay can be viewed on a personal mobile device through an application dedicated to sports channels, allowing individuals to freely watch sports broadcasts free from time and place restrictions.

On the other hand, this sports channel-only application not only provides a broadcast timetable and sports game video to viewers, but also exposes advertisements during relay. An on-site system that provides a video signal captured at a sports stadium, an audio signal for a caster's progress and a commentator's commentary, and an insertion position for each advertisement video requested by an advertiser. A relay broadcasting system including a broadcasting system that reads an image position matching an insertion position for each advertisement image and transmits a broadcasting signal generated by inserting the advertisement image at the corresponding image position to a viewing television through a broadcasting channel has been disclosed.

However, since the advertisement exposure system in the conventional sports channel is broadcast according to the intention of the advertiser rather than selecting and broadcasting the advertisement contents from the viewpoint of the viewer, the advertisement contents exposed during the game are boring or the viewing flow from the viewpoint of the viewer. There was a problem that complaints were raised about this, such as hindering advertising, and it was difficult for advertisers to obtain a high advertising effect despite paying a high amount of advertising money.

Republic of Korea Patent No. 10-1020991

The present invention can reduce advertisement complaints to viewers by inducing viewers' interest in advertisements by exposing customized advertisement content related to the field of interest of the viewer watching during sports broadcasting, and can increase advertisement effectiveness for advertisers. An object of the present invention is to provide a personalized advertisement exposure system for a sports channel and a method for displaying a personalized advertisement for a sports channel using the same.

According to one aspect of the present invention, the present invention is connected to a sports channel application server through a wired or wireless-based communication network, and registers a sports channel ID by inputting personal information of a viewer, and performs sports of sports channels through the registered ID. A personal terminal on which a sports channel application that provides content and advertising content is installed: by learning the viewer data collected through the personal terminal, classifying and selecting customized advertising content corresponding to the viewer's individual interests, and using the personal terminal and a sports channel server that transmits the selected customized advertisement contents to be exposed to the customized advertisement contents to the sports channel application server. a database for storing advertisement data; a learning module that learns viewer data from a database based on an artificial intelligence algorithm to extract individual viewer interests, and classifies and analyzes the extracted interests; a communication unit that enables wired/wireless communication with a personal terminal and a sports channel application server; It is possible to provide a personalized advertisement exposure system for sports channels, characterized in that it includes; an advertisement module that selects advertisement contents according to the fields of interest extracted and selected by the learning module and transmits them to the sports channel application server.

Here, the viewer data may include the individual's gender, age, residential area, the type of advertisement content to be selected, the number of times the advertisement content is selected, the exposure time of the selected advertisement content, the sports item to be viewed, and the viewing time. .

In addition, the sports channel application server provides the advertisement contents received from the advertisement module at advertisement exposure points including at least one of replay, slow motion, and halftime during sports broadcasting. can be configured.

On the other hand, the learning module classifies and selects a plurality of candidate areas of interest according to a set criterion for the areas of interest of the individual extracted by learning through the artificial intelligence algorithm, and selects the selected candidate areas of interest. list-up, and the advertisement module selects advertisement contents corresponding to each of the candidate fields of interest received from the learning module, and selects the advertisement contents in the order of list-up of the candidate fields of interest received from the learning module can be configured to

In this case, the learning module may be configured to list up by selecting candidate fields of interest in the order of the highest number of advertisement content selections in the fields of interest.

In addition, the learning module may be configured to list up by selecting candidate fields of interest in the order of the longest advertisement content exposure time in the fields of interest.

The learning module may be configured to learn the viewer data using a machine learning algorithm or a deep learning algorithm.

According to another aspect of the present invention, the present invention is a method for exposing a personalized advertisement of a sports channel using the above-described personal customized advertisement exposure system for a sports channel. a registration step of registering an ID of a sports channel; A learning step of learning the viewer data collected through the personal terminal based on the artificial intelligence algorithm in the learning module of the sports channel server, extracting the individual viewer's areas of interest, and selecting candidate areas of interest from the extracted areas of interest; ; When the advertisement module of the sports channel server classifies and selects customized advertisement contents for the candidate fields of interest extracted and selected from the learning module, the sports channel application server provides the customized advertisement contents corresponding to the personal terminal. It is possible to provide a personalized advertisement exposure method of a sports channel, characterized in that it comprises a; advertisement providing step.

Here, in the learning step, the viewer data includes the individual's gender, age, region of residence, type of advertisement content to be selected, number of times of advertisement content selection, exposure time of the selected advertisement content, sports item to be watched, and viewing time. can be configured.

In addition, in the advertisement providing step, the sports channel application server is configured to provide the customized advertisement content at the time of advertisement exposure including at least one of replay, slow motion, and halftime during sports broadcasting. can be

In the learning step, the learning module classifies and selects a plurality of candidate areas of interest according to a set criterion for the areas of interest of the individual extracted by learning through the artificial intelligence algorithm, and the selected candidate areas of interest and the advertisement providing step is configured so that the advertisement module selects advertisement contents corresponding to each of the candidate fields of interest received from the learning module in the order of listing the candidate fields of interest. can

In addition, in the learning step, the learning module may be configured to select and list the candidate fields of interest in the order of the highest number of advertisement content selections in the fields of interest.

In addition, in the learning step, the learning module may be configured to select and list the candidate fields of interest in the order of the longest advertisement content exposure time in the fields of interest.

According to the present invention, a personalized advertisement exposure system for a sports channel and a method for displaying personalized advertisements for a sports channel using the same according to the present invention exposes customized advertisement content related to the field of interest of the viewer who is watching during sports broadcasting, thereby allowing the viewer to view advertisements. By inducing interest, it can reduce advertising complaints to viewers, reduce the amount to be paid for advertisers according to the actual exposure ratio, and also enable risk distribution and provide the effect of increasing advertising effectiveness. can do.

1 is a block diagram showing a schematic configuration of a system for displaying personalized advertisements for sports channels according to an embodiment of the present invention.
2 is a block diagram showing a schematic configuration of a sports channel server in a system for exposing personalized advertisements for sports channels according to an embodiment of the present invention.
3 is a block diagram illustrating a schematic configuration of a database in a system for displaying personalized advertisements for sports channels according to an embodiment of the present invention.
4 is a block diagram illustrating a schematic configuration of a learning module in a system for exposing personalized advertisements for sports channels according to an embodiment of the present invention.
5 is a flowchart illustrating a method for exposing personalized advertisements for a sports channel using a system for exposing individually customized advertisements for sports channels according to an embodiment of the present invention.

Hereinafter, the terms used in the present invention have been selected as widely used general terms as possible while considering the functions in the present invention, but this may vary depending on the intention or precedent of a person skilled in the art, the emergence of new technology, and the like. In addition, in a specific case, there is a term arbitrarily selected by the applicant, and in this case, the meaning will be described in detail in the description of the corresponding invention. Therefore, the term used in the present invention should be defined based on the meaning of the term and the overall content of the present invention, rather than the name of a simple term. In the entire specification, when a part "includes" a certain element, this means that other elements may be further included, rather than excluding other elements, unless otherwise stated. In addition, terms such as "unit", "module", and "means" described in the specification mean a unit that processes at least one function or operation, which is implemented in hardware or software, or is a combination of hardware and software. can be implemented. In addition, in the following description, terms such as 1st, 2nd, etc. are terms used to describe various components, and their meanings are not limited, and are used only for the purpose of distinguishing one component from other components. do.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings so that those of ordinary skill in the art can easily implement them. However, the present invention may be embodied in several different forms and is not limited to the embodiments described herein. And in order to clearly explain the present invention in the drawings, parts irrelevant to the description are omitted, similar reference numerals are attached to similar parts throughout the specification, and the same reference numbers used throughout the present specification refer to the same components. indicates. In the description of the present invention, if it is determined that a detailed description of a related known technology may unnecessarily obscure the gist of the present invention, the detailed description thereof will be omitted.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings.

Referring to FIG. 1 , the personalized advertisement exposure system for a sports channel (hereinafter referred to as an 'advertisement exposure system') according to an embodiment of the present invention includes a personal terminal 100, a sports channel server 300, and a sports channel. It may be configured to include a sports channel application server 200 connected to the server 300 .

First, the personal terminal 100 is connected to the sports channel server 300 by accessing the sports channel application server 200 through a wired or wireless-based communication network in which the sports channel application is installed, and the viewer's personal information is inputted to the input. Accordingly, the ID of the sports channel can be registered, and various sports contents and advertisement contents of the corresponding sports channel can be provided through the registered ID.

Here, ID registration through the sports channel application, when the user inputs personal information to the personal terminal 100, the sports channel application server 200 confirms this and approves it, then transmits the ID to the corresponding personal terminal 100 to register the ID In this way, when the ID of the corresponding sports channel is registered, the personal terminal 100 can receive various contents including sports contents and advertisement contents of the sports channel through the registered ID.

On the other hand, the personal information input for ID registration is data including the individual's gender, age, residential area, etc., and is used as viewer data used to extract the individual's fields of interest in the learning module 320, at this time As much as the viewer data is operated by a membership system, the consumption behavior of viewers can also be grasped, and these data are transmitted to the sports channel server 300 and stored in the database 310 . Here, ID registration may be confirmed and approved in the sports channel application server 200 , but ID registration may also be performed in the sports channel server 300 , of course.

Furthermore, the personal terminal 100, the type of advertisement content that the individual selects for the advertisement contents broadcast during the broadcasting of the sports channel, the number of times of selection of advertisement contents, the exposure time of the selected advertisement contents, the sports items to be viewed and the viewing time, etc. It may be configured to transmit the viewer data including the sports channel server 300 .

Accordingly, the sports channel server 300 stores the viewer data collected from the personal terminal 100 in the database 310 , and the learning module 320 can learn based on the viewer data stored in the database 310 .

The sports channel server 300 is configured so that a sports channel is formed and a sports relay image can be broadcasted to the personal terminal 100 through a communication network, and the viewer personal data is learned by learning the viewer data collected through the personal terminal 100 . classifies and selects customized advertisement contents corresponding to the fields of interest (consumption behavior) of can be

2 is a block diagram showing a schematic configuration of a sports channel server 300 . Referring to the drawings, the sports channel server 300 is configured to include a database 310 , a learning module 320 , a communication unit 330 , a relay broadcasting module 340 , and an advertisement module 350 . can

In the database 310 , viewer data collected through the personal terminal 100 is stored, advertisement data for advertisement contents is stored, and various data of the sports channel server 300 are collected and stored.

3 is a block diagram schematically showing the configuration of the database 310. The database 310 may include a viewer database 311, an advertisement database 312, and a sports relay database 313. there is.

First, the viewer database 311 stores viewer data collected from the personal terminal 100 . Here, the viewer data includes the individual's gender, age, residential area, the type of advertisement content to be selected, the number of times of advertisement content selection, the exposure time of the selected advertisement content, the sports item to be viewed and the viewing time, and the like. In addition to data, interest data related to personal preference may be included, and further, classification and analysis data analyzed by each individual may be collected and stored by learning from the learning module 320 .

The advertisement database 312 stores advertisement information and advertisement data for various advertisement contents, and when new advertisement contents are updated and the advertisement period expires, they are excluded from the list and managed.

The sports relay database 313 collects and stores various data for sports relay, and may include sports channel types, schedules, relay data, and the like.

The learning module 320 may be configured to learn the viewer data of the database 310 based on an artificial intelligence algorithm to extract individual viewers' interests, and to classify and analyze the extracted interests.

Here, the learning module 320 may be configured to learn using a machine learning algorithm, but may be configured to learn personal information data using a deep learning algorithm, of course, and viewer data from the personal terminal 100 When is updated, it may be configured to include it for re-learning.

Specifically, the learning module 320 learns the viewer data through an artificial intelligence algorithm, classifies and selects a plurality of candidate areas of interest set for the areas of interest of the individual extracted by learning, and selects them according to the setting criteria. The selected candidate fields of interest may be listed, and details thereof will be described later.

4 is a block diagram schematically illustrating a detailed configuration of the learning module 320 . Referring to the drawings, the learning module 320 may include a field of interest extraction unit 321 , an area of interest analysis unit 322 , and a candidate field of interest selection unit 323 .

First, the interest field extraction unit 321 may be configured to learn viewer data and extract fields of interest for each individual through such learning. At this time, the interest area extraction unit 321 may extract areas of interest by learning both personal characteristics and personal preference characteristics in consideration of the advertisement type and exposure time selected by the corresponding viewer from the above-described viewer data.

The field of interest analysis unit 322 classifies and analyzes each individual's fields of interest extracted by the field of interest extracting unit 321 , and may classify and analyze the fields of interest by field, item, and the like, based on various criteria.

The candidate field of interest selection unit 323 may be configured to select candidate fields of interest within a set range (number) from the extracted fields of interest, and to list them.

In detail, the learning module 320 selects candidate fields of interest from the fields of interest extracted by the candidate field of interest selection unit 323 according to a setting criterion, but may list them up according to the setting criteria.

Then, the advertisement module 350 selects advertisement contents corresponding to each of the candidate fields of interest received from the learning module 320 , but the advertisement contents are listed in the order of the list-up of the candidate fields of interest received from the learning module 320 . are selected and transmitted to the sports channel application server 200 .

Hereinafter, the list-up setting criteria of the candidate field of interest selection unit 323 will be described.

First, in the first embodiment, the candidate field of interest selection unit 323 of the learning module 320 may be configured to select and list candidate fields of interest in the order of the highest number of advertisement content selections from the fields of interest. The reason for setting this selection based on the number of selections is that a large number of advertisement content selections means that there is a lot of interest in the corresponding advertisement content. because it can Accordingly, in consideration of this point, the learning module 320 may list the candidate fields of interest in the order of the highest number of advertisement content selections in the fields of interest for the corresponding viewer.

On the other hand, when the learning module 320 lists up the candidate fields of interest and transmits them to the advertisement module 350, the advertisement module 350 selects advertisement contents corresponding to each of the candidate fields of interest, but The advertisement contents may be classified and listed so that the corresponding advertisement contents are exposed in the order of listing, and the advertisement contents may be transmitted to the sports channel application server 200 .

Next, the criteria for setting the list of candidate areas of interest according to the second embodiment will be described.

In the first embodiment described above, the number of times of advertisement content selection is set as the list-up setting criterion as the criterion, but in the second embodiment, the learning module 320 provides candidate interest in the fields of interest in the order of the longest advertisement content exposure time. It may be configured to list up by selecting fields.

The reason for setting the exposure time as a standard is that the long exposure time of the corresponding advertisement content can mean that the details of the advertisement content have been looked at for a long time, so that it can be determined that the interest of the corresponding viewer is high. Because.

Accordingly, in consideration of this point, the learning module 320 may list the candidate fields of interest in the order of the longest advertisement content exposure time in the fields of interest.

In this way, when the learning module 320 lists up the candidate areas of interest and transmits them to the advertisement module 350, the advertisement module 350 classifies and lists advertisement contents corresponding to each of the candidate areas of interest in the list-up order. up and can be transmitted to the sports channel application server 200 .

On the other hand, when listing the candidate fields of interest based on the advertisement content exposure time, the sports channel application server 200 lists the advertisement exposure time in the order of longest advertisement exposure time, and thus the advertisement exposure time is Candidate fields of interest received at the time of long advertisement exposure can be sequentially exposed in list-up order so that viewers can secure more time for viewing advertisement contents.

In addition, the sports channel application server 200 may expose the advertisement selection menu to the personal terminal so that the viewer can omit the advertisement content being advertised and view the next other advertisement content.

The sports channel application server 200 is connected to the sports channel server 300 to provide a sports channel application to the personal terminal 100, and through this, ID registration from the personal terminal 100 and data from the sports channel server 300 It plays a role such as exposing sports broadcasts and advertisement contents to the personal terminal 100 by receiving .

The sports channel application server 200 performs advertisement content received from the advertisement module 350 at advertisement exposure points that can expose high contents such as replay, slow motion, and halftime during sports broadcasting. and exposes the received advertisement content to the personal terminal 100 .

The communication unit 330 serves to enable wired and wireless communication with the personal terminal 100, the sports channel server 300, and the sports channel application server 200, and relay broadcasting in the stadium is performed by the sports channel server 300. It plays a role in sending it to

The relay broadcasting module 340 performs various roles for sports relay broadcasting, such as collecting and classifying relay images in the stadium so that sports relay broadcasting is performed, and adjusting according to the program schedule. Alternatively, since the configuration of cable broadcasting can be applied, it will be omitted.

The advertisement module 350 may be configured to secure and generate various advertisement contents, select advertisement contents according to the field of interest extracted and selected by the learning module 320 and transmit it to the sports channel application server 200 . .

Hereinafter, a method for exposing personalized advertisements for a sports channel according to the present invention will be described. The personalized advertisement exposure method of a sports channel according to an embodiment of the present invention (hereinafter referred to as 'advertising exposure method') uses the above-described advertisement exposure system, so a detailed configuration description thereof will be omitted, and below, advertisement exposure Let's focus on the method.

The advertisement exposure method according to an embodiment of the present invention may include a registration step (S10), a learning step (S20), and an advertisement providing step (S30).

First, in the registration step (S10), when the personal terminal 100 accesses the sports channel application connected to the sports channel server 300 and the viewer inputs personal information, the sports channel server 300 or the sports channel application server 200 ) is configured so that the ID of the sports channel can be registered through the approval process after confirmation. In this case, the personal information may include gender, age, residence area, and the like.

In the learning step (S20), the learning module 320 of the sports channel server 300 learns the viewer data of the database 310 based on the artificial intelligence algorithm to extract the individual interests of the respective viewers, and the extracted interests Select fields of interest from candidates.

In detail, the learning step includes an extraction step (S21) in which the learning module 320 learns the viewer data and extracts respective fields of interest of individual viewers, and a plurality of candidate interests according to criteria set for the extracted areas of interest. It may be configured to include a selection step (S22) of classifying and selecting fields.

Here, in the extraction step ( S21 ), the fields of interest for each individual viewer are extracted by learning the viewer data by the field of interest extraction unit 321 , and personal characteristics and the advertisement type and exposure time selected by the viewer are extracted from the viewer data. Interest areas can be extracted by learning all of the personal preference characteristics in consideration of such factors.

In addition, in the selection step S22, the candidate fields of interest may be listed in the order of the highest number of advertisement content selections in the fields of interest.

In this case, in the advertisement providing step (S30), the advertisement contents corresponding to each of the candidate fields of interest are classified and listed in the order of list-up of the candidate fields of interest, and the advertisement contents may be configured to be transmitted to the sports channel application server 200. .

In the selection step (S22), the candidate field of interest selection unit 323 selects and lists the candidate fields of interest from the extracted fields of interest according to the setting criteria, and the setting criterion at this time is the above-mentioned number of times of selection of advertisement contents of the individual concerned. And, you can set the exposure time after selecting the advertisement content.

Next, in the advertisement providing step (S30), if the advertisement module 350 of the sports channel server 300 classifies and selects customized advertisement contents for the candidate fields of interest extracted and selected from the learning module 320, sports The channel application server 200 provides the corresponding customized advertisement content to the personal terminal 100 .

That is, in the advertisement providing step (S30), when a candidate field of interest is selected and listed by the learning module 320, the learning module 320 transmits it to the advertisement module 350, and the advertisement module 350 The advertisement contents corresponding to the received candidate interest list are classified and selected and transmitted to the sports channel application server 200, and the corresponding personal terminal receives customized advertisement contents through the sports channel application.

On the other hand, in the advertisement providing step (S30), the sports channel application server 200 provides advertisement contents at advertisement exposure points including at least any one of replay, slow motion, and halftime during sports broadcasting. It may be configured to sequentially expose advertisement contents for the listed candidate fields of interest in the order of the longest advertisement exposure time.

Although the present invention has been described with reference to the embodiment shown in the drawings, which is merely exemplary, those skilled in the art will understand that various modifications and equivalent other embodiments are possible therefrom. Therefore, the true technical protection scope of the present invention should be determined by the technical spirit of the appended claims.

100: personal terminal
200: sports channel application server
300: sports channel server
310: database
311: Viewer Database
312: advertising database
313: Sports broadcasting database
320: learning module
321: interest area extraction unit
322: interest area analysis unit
323 : Candidate interest area selection unit
330: communication department
340: relay broadcasting module
350: advertisement module

Claims (13)

A sports channel application that is connected to the sports channel application server through a wired or wireless-based communication network, registers a sports channel ID according to the viewer's personal information input, and provides sports contents and advertisement contents of the sports channel through the registered ID. Personal terminals installed and:
It learns the viewer data collected through the personal terminal, classifies and selects customized advertisement contents corresponding to the individual interests of the viewer, and uses the selected customized advertisement contents to expose the customized advertisement contents through the personal terminal to the sports. It is configured to include a; sports channel server for transmitting to the channel application server,
The sports channel server,
a database for storing viewer data collected through the personal terminal and storing advertisement data for the advertisement contents;
a learning module for learning the viewer data of the database based on an artificial intelligence algorithm, extracting individual interests of the viewer, and categorizing and analyzing the extracted fields of interest;
a communication unit enabling wired/wireless communication with the personal terminal and the sports channel application server;
and an advertisement module for selecting advertisement contents according to the field of interest extracted and selected by the learning module and transmitting the advertisement contents to the sports channel application server. The method of claim 1,
The viewer data is
Personalization of a sports channel, characterized in that it includes the individual's gender, age, region of residence, type of advertisement content to be selected, number of times of advertisement content selection, exposure time of the selected advertisement content, sports item to be watched, and viewing time ad exposure system. The method of claim 1,
The sports channel application server,
Personal of a sports channel, characterized in that it is configured to provide the advertisement content received from the advertisement module at advertisement exposure points including at least one of replay, slow motion, and halftime during sports broadcasting. Customized advertising exposure system. 4. The method of claim 3,
The learning module is
Classifying and selecting a plurality of candidate areas of interest according to a set criterion for the areas of interest of the individual extracted by learning through the artificial intelligence algorithm, and listing the selected candidate areas of interest;
The advertisement module,
Selecting advertisement contents corresponding to each of the candidate fields of interest received from the learning module, and selecting the advertisement contents in the order of the list-up of the candidate fields of interest received from the learning module. Personalized advertising exposure system. 5. The method of claim 4,
The learning module is
Personalized advertisement exposure system for a sports channel, characterized in that it is configured to select and list candidate fields of interest in the order of the highest number of advertisement content selections in the fields of interest. 5. The method of claim 4,
The learning module is
Personalized advertisement exposure system for a sports channel, characterized in that it is configured to select and list candidate fields of interest in the order of longest advertisement content exposure time in the fields of interest. The method of claim 1,
The learning module is
Personalized advertisement exposure system, characterized in that it is configured to learn the viewer data using a machine learning algorithm or a deep learning algorithm. [Claim 8] In the method for exposing personalized advertisements for sports channels using the system for exposing individual advertisements for sports channels according to claims 1 to 7,
a registration step of accessing a sports channel application connected to a sports channel application server in the personal terminal and registering the ID of the sports channel;
A learning step of learning the viewer data collected through the personal terminal based on the artificial intelligence algorithm in the learning module of the sports channel server, extracting the individual viewer's areas of interest, and selecting candidate areas of interest from the extracted areas of interest; ;
When the advertisement module of the sports channel server classifies and selects customized advertisement contents for the candidate fields of interest extracted and selected from the learning module, the sports channel application server provides the customized advertisement contents corresponding to the personal terminal. Advertisement providing step; personalized advertisement exposure method of a sports channel, characterized in that it comprises a. 9. The method of claim 8,
In the learning step, the viewer data is
Personalization of a sports channel, characterized in that it includes the individual's gender, age, region of residence, type of advertisement content to be selected, number of times of advertisement content selection, exposure time of the selected advertisement content, sports item to be watched, and viewing time How to advertise. 10. The method of claim 9,
The advertisement providing step is
Sports channel individual, characterized in that the sports channel application server is configured to provide the customized advertisement content at the time of advertisement exposure including at least one of replay, slow motion, and halftime during sports broadcasting. How to personalize your ad exposure. 11. The method of claim 10,
The learning step is
The learning module classifies and selects a plurality of candidate areas of interest according to a set criterion for the areas of interest of the individual extracted by learning through the artificial intelligence algorithm, and lists the selected candidate areas of interest,
The advertisement providing step is
The advertisement exposure method of a sports channel, characterized in that the advertisement module is configured to select the advertisement contents corresponding to each of the candidate fields of interest received from the learning module in the order of listing the candidate fields of interest. . 11. The method of claim 10,
The learning step is
The personalized advertisement exposure method of a sports channel, characterized in that the learning module is configured to select and list candidate fields of interest in the order of the highest number of advertisement content selections in the fields of interest. 13. The method of claim 12,
The learning step is
The personalized advertisement exposure method of a sports channel, characterized in that the learning module is configured to select and list candidate fields of interest in the order of the longest advertisement content exposure time in the fields of interest.

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